Triple
T10225671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9-1-1: Lone Star |
E243196
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tommy Vega
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
|
E852790
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tommy Vega | Statement: [9-1-1: Lone Star, character, Tommy Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Vega Context triple: [9-1-1: Lone Star, character, Tommy Vega]
-
A.
Tommy Titan
Tommy Titan is the costumed athletic mascot representing the University of Detroit Mercy Titans at sporting events and school activities.
-
B.
Tommy Hawk
Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
-
C.
Tommy Tar
Tommy Tar is the official mascot character representing the Tars athletic teams.
-
D.
Tommy Gunn
Tommy Gunn is a fictional heavyweight boxer who becomes Rocky Balboa’s protégé-turned-rival in the film "Rocky V."
-
E.
Tommy Genesis
Tommy Genesis is a Canadian rapper, singer, and visual artist known for her experimental, sexually explicit, and genre-blending approach to hip-hop and pop music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tommy Vega Triple: [9-1-1: Lone Star, character, Tommy Vega]
Generated description
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Vega Target entity description: Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
-
A.
Tommy Titan
Tommy Titan is the costumed athletic mascot representing the University of Detroit Mercy Titans at sporting events and school activities.
-
B.
Tommy Hawk
Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
-
C.
Tommy Tar
Tommy Tar is the official mascot character representing the Tars athletic teams.
-
D.
Tommy Gunn
Tommy Gunn is a fictional heavyweight boxer who becomes Rocky Balboa’s protégé-turned-rival in the film "Rocky V."
-
E.
Tommy Genesis
Tommy Genesis is a Canadian rapper, singer, and visual artist known for her experimental, sexually explicit, and genre-blending approach to hip-hop and pop music.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.